{"id":"W7045830754","doi":"","title":"Bonus Interview - Dan McTeague calls out McKenna & Trudeau; and a conversation about homelessness in Canada","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prime minister; Conversation; Favourite; Midnight; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007146482,0.0004423226,0.0003304053,0.0006422584,0.01729184,0.003375356,0.0008989221,0.002573106,0.1714803],"category_scores_gemma":[0.002511993,0.0003353258,0.000229649,0.001057171,0.00236908,0.001966839,0.00304009,0.003904178,0.02512442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02353036,"about_ca_system_score_gemma":0.02518168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9260749,"about_ca_topic_score_gemma":0.9734359,"domain_scores_codex":[0.9991702,0.0000781756,0.000009854966,0.0000529743,0.000244382,0.000444366],"domain_scores_gemma":[0.9977883,0.0001712974,0.00005153984,0.00003357919,0.0005709946,0.001384367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001044638,0.00000678913,0.0005047164,0.00002137955,7.660363e-7,0.0001656625,0.005913566,0.000008392416,0.0001125223,0.0009733067,0.9880112,0.004271233],"study_design_scores_gemma":[0.000003014121,0.000005048988,0.001982197,0.00005766018,0.000001353268,0.0000769399,0.02664744,0.00002348881,0.00009964562,0.0001438913,0.9709454,0.00001398208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02241383,0.004635451,0.0004543072,0.2963113,0.006773911,0.0001680878,0.00406232,0.0005436962,0.6646371],"genre_scores_gemma":[0.05483215,0.00199604,0.0001539933,0.03928617,0.0003294659,0.000064384,0.0005970947,0.0002812481,0.9024594],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1714803,"threshold_uncertainty_score":0.5736586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009264644736931602,"score_gpt":0.1934339301246162,"score_spread":0.1841692853876846,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}